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Optimal direct data-driven control with stability guarantees
European Journal of Control, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Selvi D. +3 more
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Direct Data-Driven Vibration Control for Adaptive Optics
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 Adaptive optics (AO) systems are used in ground-based telescopes to improve image resolutions, especially for long-exposure photography, by compensating for the effects of atmospheric turbulence and internal vibrations. Most current AO systems are based on simple control laws that either neglect the temporal correlation in atmospheric turbulence, use a
Vaibhav Gupta +3 more
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Direct data-driven control of a Diesel engine airpath
2012 American Control Conference (ACC), 2012In this paper, the direct data-driven design method introduced in [6] is applied to the airpath control problem in turbocharged Diesel engines. The method allows the employed fixed-order multivariable controller to be tuned without need of mathematically describing the system, thus avoiding the problem of dynamic undermodeling.
FORMENTIN, SIMONE +3 more
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Direct data‐driven control of linear time‐delay systems
Asian Journal of Control, 2011AbstractThis paper presents an extension of the Virtual Reference Feedback Tuning (VRFT) methodology dedicated to linear time‐delay systems with known delay and unknown dynamics. The standard VRFT is not well suited for systems with dominant time‐delay as it yields high order controllers.
FORMENTIN, SIMONE +3 more
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A Direct Data-Driven Control Design for Autonomous Bicycles
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)In this work, we address the problem of balancing an autonomous bicycle using direct data-driven control. Firstly, we demonstrate that a direct implementation of data-driven approaches may not guarantee reliable performance, and is highly dependent on ...
Niklas Persson +2 more
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Direct data-driven design of sparse controllers
2013 American Control Conference, 2013This paper deals with direct data-driven design of model-reference controllers whose number of parameters is constrained. Input-output (I/O) sparse controllers are introduced and proposed as an alternative to low-order controller tuning. The optimal I/O sparse controller is shown to be never worse than the optimal low-order controller with the same ...
FORMENTIN, SIMONE, Alireza Karimi
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Direct data-driven design of switching controllers for constrained systems
2021 American Control Conference (ACC), 2021This paper presents a hierarchical structure to directly design controllers for (possibly nonlinear) constrained systems. The proposed architecture combines the advantages of an inner data-driven switching controller designed to achieve a predefined closed-loop behavior and an outer model predictive controller, which is used as a reference governor ...
Sassella A., Breschi V., Formentin S.
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Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations
IEEE Transactions on Automatic Control, 2021In this article, we discuss connections between sequential system identification and control for linear time-invariant systems, often termed indirect data-driven control, as well as a contemporary direct data-driven control approach seeking an optimal ...
F. Dörfler, J. Coulson, I. Markovsky
semanticscholar +1 more source